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How 3 Turing Awardees Republished Key Methods and Ideas Whose Creators They Failed to Credit

Whose Creators They Failed to Credit ....

United States , Royal Society , Arkhangel Skaya Oblast , Rostovskaya Oblast , Baden Wüberg , Holland Library , New York , San Diego , British Columbia , Noord Holland , Eteläuomen Läi , San Francisco , United Kingdom , Mountain View , Andhra Pradesh , School Of Engineering , New Jersey , La Jolla , University Of Colorado At Boulder , Princeton University , World University , Long Beach , Comunidad Autonoma De Cataluna , France General , City Of , Redwood City ,

Why the Original Transformer Figure Is Wrong, and Some Other Interesting Historical Tidbits About LLMs

A few months ago, I shared the article, Understanding Large Language Models: A Cross-Section of the Most Relevant Literature To Get Up to Speed, and the positive feedback was very motivating! So, I also added a few papers here and there to keep the list fresh and relevant. ....

Juergen Schmidhuber , Substack Notesor , Dynamic Recurrent Neural Networks , Understanding Large Language Models , Layer Normalization , Transformer Architecture , Attention Is All You Need , Dual Residual Connections , Control Fast Weight Memories , Fast Weight Programmers , Linear Transformers Are Secretly Fast Weight , Universal Language Model Fine Tuning , Text Classification , Scaling Language Models , Training Gopher , Root Mean Square Normalization , Both Layernorm ,

LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015

1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations. ....

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